SWIPT in Mixed Near- and Far-Field Channels: Joint Beam Scheduling and Power Allocation
Yunpu Zhang, Changsheng You

TL;DR
This paper explores joint beam scheduling and power allocation for SWIPT in mixed near- and far-field channels using XL-array technology, optimizing energy harvesting and data transmission.
Contribution
It introduces a new mixed near- and far-field SWIPT scenario and proposes an efficient algorithm for joint beam scheduling and power allocation, including insights for special cases.
Findings
Proposed an algorithm for joint beam scheduling and power allocation.
Showed that in mixed scenarios, power is often allocated to both EH and ID receivers.
Numerical results demonstrate significant performance improvements over benchmarks.
Abstract
Extremely large-scale array (XL-array) has emerged as a promising technology to enhance the spectrum efficiency and spatial resolution in future wireless networks by exploiting massive number of antennas for generating pencil-like beamforming. This also leads to a fundamental paradigm shift from conventional far-field communications towards the new near-field communications. In contrast to the existing works that mostly considered simultaneous wireless information and power transfer (SWIPT) in the far field, we consider in this paper a new and practical scenario, called mixed near- and far-field SWIPT, where energy harvesting (EH) and information decoding (ID) receivers are located in the near- and far-field regions of the XL-array base station (BS), respectively. Specifically, we formulate an optimization problem to maximize the weighted sum-power harvested at all EH receivers by…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Antenna Design and Analysis · Advanced MIMO Systems Optimization
MethodsBalanced Selection
